What is Genesys Knowledge Center?
Genesys Knowledge Center allows you to make the best use of your enterprise knowledge by capturing, storing, and distributing it wherever it is needed. Let's take a closer look at the various capabilities of Knowledge Center and some corresponding use cases.
Knowledge-assisted Channels
With Knowledge Center, you can:
- Knowledge-enable channels by providing the right answers to customers in-channel to deflect interactions, leading to cost reduction and better customer service.
- Knowledge-assisted Chat: Find applicable support articles based on live chat content.
- Knowledge-assisted Email form: Find applicable support articles based on email ticket submission and web form.
- Empower agents with context-appropriate knowledge in a unified desktop for faster resolution when agent-assisted service is needed.
Use Case: Knowledge-assisted Chat
Basic Flow | Outcome 1 | Outcome 2 | Outcome 3 |
---|---|---|---|
|
John finds the answers helpful. He provides feedback and closes the window. |
John has more questions. Create a chat interaction and place John in queue. |
No answer found or answer not satisfactory. Create a chat interaction and place John in queue. |
Note: This use case requires customization of Chat Widget to integrate to Knowledge Server via APIs.
Use Case: Knowledge-assisted Email
Basic Flow | Outcome 1 | Outcome 2 |
---|---|---|
|
Tracy is provided with the coverage map for Belmont, CA as a suggested answer. She provides feedback and closes the window. |
Tracy ignores the FAQ search and types content in the message body since she has more questions. An email request is logged and placed in queue. |
Note: This use case requires customization of Web Form with Knowledge Search API.
Use Case: Knowledge-assisted Social or SMS
Basic Flow | Outcome 1 | Outcome 2 |
---|---|---|
|
Answer found. @Blueskyairlines auto-responds to @tibwizz “Click here to schedule a call with our travel consultant to rebook”. |
Answer not found. Queue the message for agent. |
Note: This use case requires customization of Orchestration logic.
Proactive Knowledge
- Combine Knowledge with Proactive Engagement to proactively provide suggested articles at the right moment.
- Provide knowledge-based assistance for agents if the customer asks for a human-assisted channel escalation.
- Reduce effort, reduce friction and channel escalation.
Use Case: Proactive Knowledge
Basic Flow | Outcome 1 | Outcome 2 | Outcome 3 |
---|---|---|---|
|
Suggested Pages/Info Within the suggested articles section of the page, a few links are populated:
|
Jurgen ignores the suggestions. No action taken. |
Jurgen looks at suggestions, but still continues to browse. Proactively offer customers the ability to escalate to assisted service. |
Note: This use case requires customization of Rules and Web Page logic.
Knowledge Web Search
Enable dynamic FAQ and channel deflection using natural language search and present knowledge articles to customers via the web.
Use Case: Contact Center Escalation
The following list of outcomes from examples on this page demonstrates how Knowledge Center allows customers to serve themselves if they want to, while providing them with easy ways to contact an agent if they cannot find what they are looking for:
- Outcome 3 in the Web Search and Proactive Knowledge examples
- Outcome 2 in the Knowledge-assisted Email example
- Outcome 3 in the Knowledge Assisted Chat example
Use Case: Web Search
Basic Flow | Outcome 1 | Outcome 2 | Outcome 3 |
---|---|---|---|
|
One Question. One Answer. Knowledge Center finds the right answer in the FAQs and provides the answer to John. |
Top 3 Answers. Knowledge Center also provides two other articles that contain information about gate checking guidelines. |
John is not satisfied with the answers and says answer was not helpful. John is offered a choice of chat, email, or callback based on agent availability or hours of operation. Agent receiving John’s request is presented with all the relevant information about John, his reservations, and the answers viewed by John so that he/she can quickly help John. |
Note: This use case requires customization of Rules and web page logic.
Use Case: Fast access to content with auto-complete
Basic Flow | Outcome 1 | Outcome 2 |
---|---|---|
|
John finds the answers to the suggested questions helpful. He provides feedback and closes the window. |
John has more questions. Create a chat interaction and place John in queue. |
Use Case: Browsing though document categories
Basic Flow | Outcome |
---|---|
|
John now has all the information he needs. He answers “Yes” to the feedback question from the original article, which now ranks the article higher for subsequent searches. Note: Feedback is not available for browsed articles, since all feedback is directly related to a search query. |